May 10, 2021 · We propose scDEC, a computational tool for scATAC-seq analysis with deep generative neural networks. scDEC is built on a pair of generative adversarial ...
scDEC is built on a pair of generative adversarial networks (GANs), and is capable of learning the latent representation and inferring the cell labels, ...
Here, we proposed scDEC, a computational tool for single cell ATAC-seq analysis with deep generative neural networks.
scDEC enables simultaneously learning the deep embedding and clustering of the cells in an unsupervised manner. scDEC is also applicable to multi-modal single ...
scDEC is a computational tool for single cell ATAC-seq data analysis with deep generative neural networks. scDEC enables simultaneously learning the deep ...
Here, we proposed scDEC, a computational tool for single cell ATAC-seq analysis with deep generative neural networks. scDEC is built on a pair of generative ...
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Oct 22, 2024 · In downstream applications, we demonstrate that the generative power of scDEC helps to infer the trajectory and intermediate state of cells ...
Jan 12, 2022 · We present a multi-modal deep generative model, the single-cell Multi-View Profiler (scMVP), which is designed for handling sequencing data that simultaneously ...
Jul 20, 2022 · Abstract. Deciphering 3D genome conformation is important for understanding gene regulation and cellular function at a spatial level.
Aug 10, 2020 · The datasets that were used in the paper entitled "Simultaneous deep generative modeling and clustering of single-cell genomic data".
Missing: modelling | Show results with:modelling